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Hamburg University of Technology
Master English Computer Science

Data Science

Master

About the Program

The curriculum of the Master's programme in data science is structured as follows: Core qualification: modules teaching the foundations of data science Specialisations: Three different specialisation areas (mathematics, computer science, and applications) allow students to focus on different aspects of data science. It is possible to focus on a certain specialisation, but at least one module from each area needs to be taken. General qualification: modules on non-technical topics, business & management, research methods, and a seminar Project work and Master’s thesis can be done at different institutes of the TUHH, allowing each student to work on a research-oriented project. Teaching the methodology and logic of engineering – "learning to think" – is a key aspect of studies at TUHH. Only in this way can one acquire the knowledge to keep pace with rapid technological change. This sound theoretical foundation is rounded off by a well-balanced mixture of practical application in internships, projects and thesis work. It should be noted that students at TUHH are trained to think and decide for themselves, to learn and work independently as well as in international teams representing many different academic, national and cultural backgrounds. TUHH promotes interdisciplinary research, teaching and learning. Students will be integrated into research and development projects at an early stage. This facilitates a smooth transition to working life.
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The curriculum of the Master's programme in data science is structured as follows: Core qualification: modules teaching the foundations of data science Specialisations: Three different specialisation areas (mathematics, computer science, and applications) allow students to focus on different aspects of data science. It is possible to focus on a certain specialisation, but at least one module from each area needs to be taken. General qualification: modules on non-technical topics, business & management, research methods, and a seminar Project work and Master’s thesis can be done at different institutes of the TUHH, allowing each student to work on a research-oriented project. Teaching the methodology and logic of engineering – "learning to think" – is a key aspect of studies at TUHH. Only in this way can one acquire the knowledge to keep pace with rapid technological change. This sound theoretical foundation is rounded off by a well-balanced mixture of practical application in internships, projects and thesis work. It should be noted that students at TUHH are trained to think and decide for themselves, to learn and work independently as well as in international teams representing many different academic, national and cultural backgrounds. TUHH promotes interdisciplinary research, teaching and learning. Students will be integrated into research and development projects at an early stage. This facilitates a smooth transition to working life.

Which Professions Does This Program Open Up?

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Subjects / Topic Areas

Computer Science

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Frequently Asked Questions

Quick answers about Data Science at Hamburg University of Technology

Is Data Science at Hamburg University of Technology taught in German or English?

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Data Science programme cost?

No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Data Science at Hamburg University of Technology?

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline?

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Data Science?

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Hamburg University of Technology — directly or via uni-assist?

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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